[英]Machine Learning - Classification Problem
是否有任何命令可以在预测模型中的任何值时调用错误分类的值,简而言之就是那些分类不准确的值。
There is no such method in the scikit-learn API. scikit-learn API 中没有这样的方法。 You can however write it yourself in a few lines:
但是,您可以自己编写几行:
import numpy as np
X_train, X_test, y_train, y_test = ... # some dataset
model = ... # some scikit learn model
model.fit(X_train, y_train)
y_pred = model.predict(X_test)
# command to get misclassified examples assuming you have numpy arrays
X_test[np.argwhere(y_pred != y_test)]
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